{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "discover vulnerability", "trigger": true, "arguments": ["time", "supported platform", "vulnerability", "common vulnerabilities and exposures", "vulnerable system", "vulnerable system version", "capabilities", "vulnerable system owner"]}, {"event_type": "phishing", "trigger": true, "arguments": ["attack pattern", "place", "tool", "trusted entity", "purpose"]}, {"event_type": "data breach", "trigger": true, "arguments": ["purpose", "compromised data", "damage amount", "attack pattern", "number of victim", "attacker", "tool", "place", "victim", "number of data"]}], "input": "The forensic analysis found patient data was not transferred outside of the hospital ’s network , and the FBI confirmed the motivation for SamSam hackers is ransom payment , not to harvest patient data ."}
{"discover vulnerability": [], "phishing": [], "data breach": [{"trigger": "was not transferred", "arguments": {"purpose": "NAN", "compromised data": "patient data", "damage amount": "NAN", "attack pattern": "NAN", "number of victim": "NAN", "attacker": "NAN", "tool": "NAN", "place": "NAN", "victim": "the hospital ’s network", "number of data": "NAN"}}]}